A Review of the artificial neural network's roles in alternative fuels: Optimization, prediction, and future prospects

HY Nanlohy, S Marianingsih… - … for Society and …, 2024 - journal.unimma.ac.id
Abstract Artificial Neural Networks (ANN) are increasingly employed in alternative fuels to
enhance efficiency and mitigate environmental impacts. This article comprehensively …

Enhancing hydrogen production using solar-driven photocatalysis with biosynthesized nanocomposites: A hybrid machine learning approach towards enhanced …

O Khan, I Alsaduni, M Parvez, AK Yadav - International Journal of …, 2025 - Elsevier
Photocatalytic hydrogen production is an emerging technology that holds significant promise
for sustainable generation. This study focuses on optimizing hydrogen production using …

Performance improvement with boosted intake pressure and hydrogen enriched biogas and producer gas-fuelled SI engine

LK Prajapati, JV Tirkey - Fuel, 2025 - Elsevier
The depletion of conventional fuels and rising energy demand necessitate alternative
energy solutions, with biomass emerging as a viable resource. However, relying on a single …

[HTML][HTML] Analyzing vehicle emissions using a hybrid machine learning approach using weighted average based k-means clustering for sustainable transportation …

M Mobasshir, P Pachauri, P Kumari, F Khan… - Green Technologies and …, 2025 - Elsevier
In today's world, the heavy reliance on crude oil for transportation has significant
environmental implications, contributing to air pollution and greenhouse gas emissions …

Biodiesel produced from transesterification of palm oil using NaOH-treated activated carbon and pyrolytic char of used tires as catalysts

K Chana, BH Chen, D Na-Ranong - Process Safety and Environmental …, 2025 - Elsevier
Biodiesel produced from catalyzed transesterification of palm oil with methanol using NaOH-
treated carbonaceous catalysts was studied and reported. Particularly, effect of the …